检索结果-内蒙古大学图书馆

2024 International Symposium on computing and Intelligent Systems, SCI 2024

作者： Reddy, P. Nandieswar Aswath, Sai S. Alapati, Rithvika Beena, B.M. Department of Computer Science & Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Karnataka Bangalore560035 India

Sentimental analysis is critical in understanding the user's reaction toward the content on social media platforms. YouTube is one of the most used social media platforms in the current era. Understanding the user's reaction towards the content posted on such platforms is important in improving the content. A sentimental model using LSTM and NLP techniques is built and trained using the IMDB dataset and deployed using Amazon web services (AWS). 85% accuracy persisted and detailed the model's performance in categorizing comments as positive and negative. The interactive dashboard is built using stream-lit. © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

Comparative Study Between Traditional and Hybrid LSTM Models for Toxic Comment Classification 4

Comparative Study Between Traditional and Hybrid LSTM Models...

引用

4th International Conference on Technological Advancements in Computational sciences, ICTACS 2024

作者： Bardia, Viksith Avinash, M. Prabu, M. Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350387490

The widespread use of social media platforms such as X, Instagram, and Threads has led to a surge in user generated content, where freedom of expression and speech is often exercised. However, such openness results in an increased number of toxic comments that may cause personal hurt. Being able to identify and classify such comments provides the key for keeping online communities healthy. This paper compares and develops deep learning models on the classification of toxic comments for recognizing malicious comment. The approaches include Long Short-Term Memory (LSTM) and a hybrid approach that combines LSTM with CNN. For improving performance, we incorporate several preprocessing techniques into the model, while using Word2Vec embeddings for transfer learning. In this regard, our results of the implementation of this approach depict that the LSTM with CNN model provides the highest accuracy of 95.12%, outperforming the traditional approach. These findings indicate that LSTM with CNN based architecture, applied together with strong preprocessing and word embeddings, might lead to higher performance in toxic comment classification. The implications of this study are of use for social media platforms and developers willing to implement more effective moderation tools. © 2024 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Real-Time Road Hazard Classification Using Object Detection with Deep Learning 4th

Real-Time Road Hazard Classification Using Object Detection ...

引用

4th International Conference on IoT Based Control Networks and Intelligent Systems, ICICNIS 2023

作者： Sanjai Siddharthan, M. Aravind, S. Sountharrajan, S. Department of Computer Science and Engineering Amrita School of Computing Amrita Viswa Vidyapeetham Tamil Nadu Chennai India

ISBN: (纸本)9789819965854

Potholes and speed bumps are common road hazards that can cause vehicle damage and put drivers in danger. Potholes, or road imperfections, are hazardous to both vehicles and people. This research proposes an innovative deep learning framework relying on the YOLOv8 architecture. For bettering the model's accuracy and resilience, it is being improved on distinctive annotated dataset. The dataset includes images of road surfaces with annotated potholes and speed bumps to help the model recognize these features. The model uses the power of convolutional neural networks to analyze road images and make high-accuracy predictions. The proposed system can be integrated into vehicles and other transportation systems to provide drivers with timely and reliable alerts, improving road safety and reducing vehicle damage. The experiments show that the approach is effective at detecting potholes and speed bumps with good precision, recall, mAP, and F1-score, providing an innovative solution for real-time pothole and speed bump detection. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

HDL-ready MAC layer implementation for multi-node Li-Fi communications

引用

International Journal of Information Technology (Singapore) 2023年第4期15卷 2039-2051页

作者： Km, Athira Duttagupta, Subhasri Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri Kollam India

The Light Fidelity (Li-Fi) is a short-range optical wireless communication (OWC) technology where Light emitting diodes (LEDs) are used for transmission of data and photodiodes are used for reception of data. This paper deals with an implementation for Medium access control (MAC) sublayer for Li-Fi that conforms to IEEE 802.15.7 standard specifications for short-range OWC. Existing works on the implementation of the MAC layer have demonstrated the VLC communications for point-to-point topology only and do not deal with LiFi MAC layer functionalities in detail. This work supports multi-node communications and considers all the topologies e.g., point-to-point, star, and broadcast as mentioned in the standard. Our MAC layer implementation is based on MATLAB and Simulink and it includes important MAC layer functionalities such as coordinator selection, beacon generation, and association/disassociation with the coordinator, etc. Moreover, this paper also explores additional functionalities such as Synchronization among multiple devices and flicker mitigation and dimming support which are not addressed in the existing solutions. The emphasis in this paper is not on a real demonstration of LiFi-based communication but on building a simulation model that passes through the step of HDL (Hardware description language) code conversion such that synthesizable VHDL/Verilog code can be easily generated and integrated with the physical layer. © 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of computer Applications and Management.

关键词： HDL conversion Light fidelity (Li-Fi) MATLAB Medium access control (MAC) Optical wireless personal area network (OWPAN) Simulink

来源：评论

学校读者我要写书评

暂无评论

Animal Intrusion Detection Using Yolo V8 10

Animal Intrusion Detection Using Yolo V8

引用

10th International Conference on Advanced computing and Communication Systems, ICACCS 2024

作者： Kathir, M. Balaji, V. Ashwini, K. Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (数字)9798350384369

ISBN: (纸本)9798350384369

This project presents an inventive Animal Intrusion Detection System using Yolo v8 object detection algorithm. Addressing the problem of wildlife intrusions in agriculture as its main goal, the presented work focuses on precise animal identification and the activation of appropriate warning systems. The technology effectively identifies animals in agricultural fields, protecting crops as well as guaranteeing the welfare of wildlife. An intelligent monitoring system that can detect the image of an animal entering, sending alert messages to the farmers or landlords is proposed. It may lessen conflicts between people and wildlife, safeguard crops, and maintain biodiversity, all of which would be advantageous to both wildlife conservation and agriculture. The presented work uses YOLO v8, the most recent instantaneous object detector in the YOLO family, because it performs exceptionally well in terms of accuracy and speed. YOLOv8 offers new features and enhancements, building on the strengths of earlier YOLO versions. This makes it perfect for object detection in a range of applications. © 2024 IEEE.

关键词： Livestock

来源：评论

学校读者我要写书评

暂无评论

Transaction transmission model for blockchain channels based on non-cooperative games

引用

science China(Information sciences) 2023年第1期66卷 97-114页

作者： Peiyun ZHANG Chenxi LI Mengchu ZHOU Wenjun HUANG Abdullah ABUSORRAH Omaimah O.BAMASAG Engineering Research Center of Digital Forensics of Ministry of Education School of Computer and SoftwareNanjing University of Information Science and Technology School of Computer and Information Anhui Normal University Department of Electrical and Computer Engineering New Jersey Institute of Technology Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer Engineering Faculty of Engineering and K.A.CARE Energy Research and Innovation CenterKing Abdulaziz University Department of Computer Science Faculty of Computing and Information Technology Center of Excellence in Smart Environment Research King Abdulaziz University

In blockchain networks, transactions can be transmitted through channels. The existing transmission methods depend on their routing information. If a node randomly chooses a channel to transmit a transaction, the transmission may be aborted due to insufficient funds(also called balance) or a low transmission rate. To increase the success rate and reduce transmission delay across all transactions, this work proposes a transaction transmission model for blockchain channels based on non-cooperative game *** balance, channel states, and transmission probability are fully considered. This work then presents an optimized channel transaction transmission algorithm. First, channel balances are analyzed and suitable channels are selected if their balance is sufficient. Second, a Nash equilibrium point is found by using an iterative sub-gradient method and its related channels are then used to transmit transactions. The proposed method is compared with two state-of-the-art approaches: Silent Whispers and Speedy Murmurs. Experimental results show that the proposed method improves transmission success rate, reduces transmission delay,and effectively decreases transmission overhead in comparison with its two competitive peers.

关键词： Blockchain channel transaction transmission channel balance channel state channel transmission probability non-cooperative game

来源：评论

学校读者我要写书评

暂无评论

The Impact of Domain Name Server(DNS)over Hypertext Transfer Protocol Secure(HTTPS)on Cyber Security:Limitations,Challenges,and Detection Techniques

引用

computers, Materials & Continua 2024年第9期80卷 4513-4542页

作者： Muhammad Dawood Shanshan Tu Chuangbai Xiao Muhammad Haris Hisham Alasmary Muhammad Waqas Sadaqat Ur Rehman Faculty of Information Technology Beijing University of TechnologyBeijing100124China National Center of Robotics and Automation University of Engineering and TechnologyPeshawar25000Pakistan Department of Computer Science College of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia School of Computing and Engineering Sciences Faculty of Engineering and ScienceUniversity of GreenwichLondonSE109LSUnited Kingdom School of Engineering Edith Cowan UniversityPerthWA 6027Australia School of Computer Science and Engineering University of SalfordManchesterM54BRUnited Kingdom

The DNS over HTTPS(Hypertext Transfer Protocol Secure)(DoH)is a new technology that encrypts DNS traffic,enhancing the privacy and security of ***,the adoption of DoH is still facing several research challenges,such as ensuring security,compatibility,standardization,performance,privacy,and increasing user *** significantly impacts network security,including better end-user privacy and security,challenges for network security professionals,increasing usage of encrypted malware communication,and difficulty adapting DNS-based security ***,it is important to understand the impact of DoH on network security and develop newprivacy-preserving techniques to allowthe analysis of DoH traffic without compromising user *** paper provides an in-depth analysis of the effects of DoH on *** discuss various techniques for detecting DoH tunneling and identify essential research challenges that need to be addressed in future security ***,this paper highlights the need for continued research and development to ensure the effectiveness of DoH as a tool for improving privacy and security.

关键词： DNS DNS over HTTPS cybersecurity machine learning

来源：评论

学校读者我要写书评

暂无评论

Printed Circuit Board Defect Detection Using CNN Based Deep Learning Technique 4

Printed Circuit Board Defect Detection Using CNN Based Deep ...

引用

4th International Conference on Technological Advancements in Computational sciences, ICTACS 2024

作者： Bardia, Viksith Prabu, M. Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350387490

Being in the competitive area of electronics manufacturing, PCB defects have to be detected for reliability of products and maintaining the quality standards. This paper deals with the new advanced methodology for PCB automatic inspection by using CNN-based methodology for the detection of defect on PCBs. The models were highly trained and tested with a huge dataset that was designed especially for the identification of defects in PCBs. For effective identification and classification of various defects like the irregularities, missing components, gaps and electrical shorts, this paper uses the CNN architecture. The achieved results of experiments with the model's accuracy up to 95.57%, precision up to 95.44% and recall up to 93.76% underscore the importance of achieving high performance. Ensuring such stable and accurate representation of the CNN - based method makes this approach valuable in improving the production workflow. This automatic defect detection system enables man inspection to be minimized. Hence the possibility of human error becomes low and thus forms a reliable solution for production efficiency improvement and strict quality control throughout the electronics manufacturing process by the manufacturers. © 2024 IEEE.

关键词： Inspection

来源：评论

学校读者我要写书评

暂无评论

Blockchain-Enabled Mitigation Strategies for Distributed Denial of Service Attacks in IoT Sensor Networks:An Experimental Approach

引用

computers, Materials & Continua 2024年第12期81卷 3679-3705页

作者： Kithmini Godewatte Arachchige Mohsin Murtaza Chi-Tsun Cheng Bader M.Albahlal Cheng-Chi Lee Department of Engineering Technologies School of ScienceComputing and Engineering TechnologiesSwinburne UniversityMelbourne3122Australia School of Engineering Science Technology Engineering and Mathematics CollegeRMIT UniversityMelbourneVIC 3001Australia Department of Information Technology College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Library and Information Science Fu Jen Catholic UniversityNew Taipei City24205TaiwanChina Department of Computer Science and Information Engineering Asia UniversityTaichung City41354TaiwanChina

Information security has emerged as a crucial consideration over the past decade due to escalating cyber security threats,with Internet of Things(IoT)security gaining particular attention due to its role in data communication across various ***,IoT devices,typically low-powered,are susceptible to cyber ***,blockchain has emerged as a robust solution to secure these devices due to its decentralised ***,the fusion of blockchain and IoT technologies is challenging due to performance bottlenecks,network scalability limitations,and blockchain-specific security ***,on the other hand,is a recently emerged information security solution that has great potential to secure low-powered IoT *** study aims to identify blockchain-specific vulnerabilities through changes in network behaviour,addressing a significant research gap and aiming to mitigate future cybersecurity *** blockchain and IoT technologies presents challenges,including performance bottlenecks,network scalability issues,and unique security *** paper analyses potential security weaknesses in blockchain and their impact on network *** developed a real IoT test system utilising three prevalent blockchain applications to conduct *** results indicate that Distributed Denial of Service(DDoS)attacks on low-powered,blockchain-enabled IoT sensor networks cause measurable anomalies in network and device performance,specifically:(1)an average increase in CPU core usage to 34.32%,(2)a reduction in hash rates by up to 66%,(3)an increase in batch timeout by up to 14.28%,and(4)an increase in block latency by up to 11.1%.These findings suggest potential strategies to counter future DDoS attacks on IoT networks.

关键词： Blockchain cyber intrusions DDoS IoT low powered sensors vulnerabilities wireless network

来源：评论

学校读者我要写书评

暂无评论

Sentiment Analysis: Aspect-based analysis for Market Insights and Customer Feedback Valuation 2

Sentiment Analysis: Aspect-based analysis for Market Insight...

引用

2nd IEEE Global Conference on Communications and Information Technologies, GCCIT 2024

作者： Priya, S. Vishnu Varshaa, B. Prabu, M. Amrita Vishwa Vidyapeetam Amrita School of Computing Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350388916

E-commerce platforms have been witnessing a rapid expansion leading to an overwhelming amount of customer reviews which can be a source to obtain valuable insights on performance of the product and customer satisfaction. This paper delves on a machine learning approach to perform sentimental analysis on customer reviews. With a major focus on aspect based sentimental analysis(ABSA) for customer feedback valuation on various headset brands. With flipkart reviews dataset, the experiment aims to develop a model that can classify the overall sentiment of the consumer into positive or negative and dives deeper into product aspects such as sound quality, battery life, and comfort. This involves data preprocessing, sentimental scoring, aspect extraction and model evaluation using BERT. This will help us have strong framework for identifying actionable insights, allowing businesses to enhance marketing strategies and improve customer service. In the future the project can be developed further to include multilingual datasets and refining the accuracy of the model, examining its application to various social media platform © 2024 IEEE.

关键词： Sales

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：